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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 15661
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    Explanations

    thumbnails within a specific format that includes numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to "Thumbnails" in the context of visual content organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uge
    -0.65
     NEC
    -0.63
    byn
    -0.62
     flavours
    -0.61
    TY
    -0.61
    ether
    -0.60
    EU
    -0.60
     dreadful
    -0.59
     vap
    -0.59
    ricia
    -0.59
    POSITIVE LOGITS
     --
    0.91
     -->
    0.73
    EStream
    0.72
    --
    0.72
    lator
    0.72
    arsity
    0.72
    EngineDebug
    0.72
    Narr
    0.71
     Thumbnails
    0.67
    æī
    0.65
    Activations Density 0.000%

    No Known Activations